陇东黄土高原生态系统服务权衡效应及其驱动因素

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陇东黄土高原生态系统服务权衡效应及其驱动因素

Effects and driving factors of ecosystem service trade-offs in the Longdong Loess Plateau, China

陇东黄土高原生态系统服务权衡效应及其驱动因素

Effects and driving factors of ecosystem service trade-offs in the Longdong Loess Plateau, China

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doi:10.12118/j.issn.1000-6060.2024.151

干旱区地理 ›› 2025, Vol. 48 ›› Issue (3): 480-493.doi: 10.12118/j.issn.1000-6060.2024.151 cstr: 32274.14.ALG2024151

黄学煜¹^,²(), 修丽娜¹^,²(), 陆志翔³

1.西北师范大学地理与环境科学学院，甘肃兰州 730070
2.甘肃省绿洲资源环境与可持续发展重点实验室，甘肃兰州 730070
3.中国科学院西北生态环境资源研究院，内陆河流域生态水文重点实验室/甘肃省祁连山生态环境研究中心，甘肃兰州 730000

收稿日期:2024-03-06 修回日期:2024-06-17 出版日期:2025-03-25 发布日期:2025-03-14
通讯作者: 修丽娜（1988-），女，博士，副教授，主要从事生态环境遥感与GIS应用研究. E-mail: xiulina@nwnu.edu.cn
作者简介:黄学煜（1999-），男，硕士研究生，主要从事生态系统服务评估研究. E-mail: lhxzlucky@163.com
基金资助:
甘肃省科技重大专项计划项目(21ZD4FA008)

HUANG Xueyu¹^,²(), XIU Lina¹^,²(), LU Zhixiang³

1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
2. Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Lanzhou 730070, Gansu, China
3. Key Laboratory of Ecohydrology of Inland River Basin/Gansu Qilian Mountains Ecology Research Center, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China

Received:2024-03-06 Revised:2024-06-17 Published:2025-03-25 Online:2025-03-14

摘要：

量化生态系统服务时空变化，探究生态系统服务的权衡效应及其影响因素，有利于促进区域生态功能恢复。以陇东黄土高原为例，基于InVEST模型对产水量、粮食供给、土壤保持和固碳4种重要生态系统服务进行评估，采用Sen+Mann-Kendall方法识别该地区2001—2020年生态系统服务时空变化趋势，运用相关系数和均方根偏差量化生态系统服务权衡效应，并利用地理探测器探究其驱动因素。结果表明：（1）近20 a陇东黄土高原产水量、粮食供给和土壤保持整体表现为不显著增加，固碳呈现显著增加态势。（2）生态系统服务间权衡效应在不同地区各有差异，产水量与粮食供给权衡关系主要集中在陇东黄土高原东南部，粮食供给与土壤保持权衡关系分布在陇东黄土高原南部，且权衡度有下降趋势，粮食供给与固碳权衡度有明显的上升趋势。（3）生态系统服务权衡效应受自然因素和人为因素共同作用，其中年降水量是关键的驱动因素。研究从生态系统服务权衡效应的角度为区域生态规划和改善生态系统服务质量提供了科学依据。

关键词: 趋势分析, 权衡/协同, 均方根偏差, 地理探测器, 陇东黄土高原

Abstract:

Quantifying spatial and temporal changes in ecosystem services and analyzing trade-offs and influencing factors are essential for restoring regional ecological functions. This study focuses on the Longdong Loess Plateau of Gansu Province, China, evaluating four key ecosystem services: water yield, grain provision, soil conservation, and carbon sequestration. The assessment was conducted using the InVEST model, and the Sen+Mann-Kendall method was applied to analyze spatial and temporal change trends of ecosystem services from 2001 to 2020. Trade-off effects among ecosystem services were quantified through correlation analysis and root mean square deviation. Additionally, the geodetector method was used to explore the driving factors of these trade-offs. The findings indicated that: (1) Over the past 20 years, water yield, grain provision, and soil conservation in the Longdong Loess Plateau showed no significant increases, while carbon sequestration demonstrated a notable upward trend. (2) Trade-off effects among ecosystem services exhibited spatial variation. Trade-offs between water yield and grain provision were primarily concentrated in the southeastern region of the Longdong Loess Plateau, while trade-offs between grain provision and soil conservation were distributed in the southern region of the Longdong Loess Plateau, and the degree of trade-offs declined over time. The trends of the degree of trade-offs between grain provision and carbon sequestration showed significant regional increases. (3) The trade-off effects of ecosystem services were influenced by a combination of natural and human factors, with annual precipitation identified as the primary driver. This study provides a scientific basis for regional ecological planning and strategies to enhance ecosystem service quality by addressing trade-off effects.

Key words: trends analysis, trade-offs/synergy, root mean square deviation, geodetector, Longdong Loess Plateau

黄学煜, 修丽娜, 陆志翔. 陇东黄土高原生态系统服务权衡效应及其驱动因素[J]. 干旱区地理, 2025, 48(3): 480-493.

HUANG Xueyu, XIU Lina, LU Zhixiang. Effects and driving factors of ecosystem service trade-offs in the Longdong Loess Plateau, China[J]. Arid Land Geography, 2025, 48(3): 480-493.

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[1]	Costanza R, d’Arge R, de Groot R, et al. The value of the world’s ecosystem services and natural capital[J]. Ecological Economics, 1998, 25(1): 3-15.
[2]	董彭蓓, 任宗萍, 李鹏, 等. 土地利用变化下宁夏生态系统服务权衡协同关系研究[J]. 干旱区研究, 2024, 41(6): 1032-1044. doi: 10.13866/j.azr.2024.06.12
	[Dong Pengbei, Ren Zongping, Li Peng, et al. Ecosystem services trade-offs and synergies drived by landuse changes in Ningxia[J]. Arid Zone Research, 2024, 41(6): 1032-1044. ] doi: 10.13866/j.azr.2024.06.12
[3]	杨帆, 张丽雪, 石琳. 沿海防护林体系建设工程区生态系统服务权衡/协同及驱动力[J]. 生态学报, 2023, 43(23): 9952-9966.
	[Yang Fan, Zhang Lixue, Shi Lin. Trade-off/synergy and driving force analysis of ecosystem services in the Coastal Shelter Forest System Construction Project region[J]. Acta Ecologica Sinica, 2023, 43(23): 9952-9966. ]
[4]	荔童, 梁小英, 张杰, 等. 基于贝叶斯网络的生态系统服务权衡协同关系及其驱动因子分析——以陕北黄土高原为例[J]. 生态学报, 2023, 43(16): 6758-6771.
	[Li Tong, Liang Xiaoying, Zhang Jie, et al. Ecosystem service trade-off and synergy relationship and its driving factor analysis based on Bayesian belief network: A case study of the Loess Plateau in northern Shaanxi Province[J]. Acta Ecologica Sinica, 2023, 43(16): 6758-6771. ]
[5]	Brauman K A, Daily G C, Duarte T K, et al. The nature and value of ecosystem services: An overview highlighting hydrologic services[J]. Annual Review of Environment and Resources, 2003, 32(1): 67-98.
[6]	Firbank L, Bradbury R B, McCracken D I, et al. Delivering multiple ecosystem services from enclosed farmland in the UK[J]. Agriculture, Ecosystems & Environment, 2013, 166: 65-75.
[7]	Yang G F, Ge Y, Xue H, et al. Using ecosystem service bundles to detect trade-offs and synergies across urban-rural complexes[J]. Landscape and Urban Planning, 2015, 136: 110-121.
[8]	徐铭璟, 冯强, 吕萌. 生态系统服务权衡及其影响因素——以黄河流域山西段为例[J]. 干旱区研究, 2024, 41(3): 467-479. doi: 10.13866/j.azr.2024.03.11
	[Xu Mingjing, Feng Qiang, Lü Meng. Tradoffs of ecosystem services and their influencing factors: A case study of the Shanxi section of the Yellow River Basin[J]. Arid Zone Research, 2024, 41(3): 467-479. ] doi: 10.13866/j.azr.2024.03.11
[9]	Xu S N, Liu Y F, Wang X, et al. Scale effect on spatial patterns of ecosystem services and associations among them in semi-arid area: A case study in Ningxia Hui Autonomous Region, China[J]. Science of the Total Environment, 2017, 598: 297-306.
[10]	Liu J M, Pei X T, Zhu W Y, et al. Scenario modeling of ecosystem service trade-offs and bundles in a semi-arid valley basin[J]. Science of the Total Environment, 2023, 896: 166413, doi: 10.1016/j.scitotenv.2023.166413.
[11]	Li B Y, Chen N C, Wang Y C, et al. Spatio-temporal quantification of the trade-offs and synergies among ecosystem services based on grid-cells: A case study of Guanzhong Basin, NW China[J]. Ecological Indicators, 2018, 94: 246-253.
[12]	Pan J H, Wei S M, Li Z. Spatiotemporal pattern of trade-offs and synergistic relationships among multiple ecosystem services in an arid inland river basin in NW China[J]. Ecological Indicators, 2020, 114: 106345, doi: 10.1016/j.ecolind.2020.106345.
[13]	Zhao T, Pan J H. Ecosystem service trade-offs and spatial non-stationary responses to influencing factors in the Loess hilly-gully region: Lanzhou City, China[J]. Science of the Total Environment, 2022, 846: 157422, doi: 10.1016/j.scitotenv.2022.157422.
[14]	杨艳芬, 王兵, 王国梁, 等. 黄土高原生态分区及概况[J]. 生态学报, 2019, 39(20): 7389-7397.
	[Yang Yanfen, Wang Bing, Wang Guoliang, et al. Ecological regionalization and overview of the Loess Plateau[J]. Acta Ecologica Sinica, 2019, 39(20): 7389-7397. ]
[15]	李宏峰. 陇东黄土高原丘陵沟壑区生态屏障建设问题研究[J]. 农业科技与信息, 2017(2): 32-33.
	[Li Hongfeng. Research on the construction of ecological barriers in the hilly and gully areas of the Longdong Loess Plateau[J]. Agricultural Science-Technology and Information, 2017(2): 32-33. ]
[16]	Huo A D, Yang L, Luo P P, et al. Influence of landfill and land use scenario on runoff, evapotranspiration, and sediment yield over the Chinese Loess Plateau[J]. Ecological Indicators, 2021, 121: 107208, doi: 10.1016/j.ecolind.2020.107208.
[17]	Yang J, Huang X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021, 13(8): 3907-3925. doi: 10.5194/essd-13-3907-2021
[18]	Liu H, Jiang D, Yang X, et al. Spatialization approach to 1 km grid GDP supported by remote sensing[J]. Geo-information Science, 2005, 7: 120-123.
[19]	Zhang L, Hickel K, Dawes W R, et al. A rational function approach for estimating mean annual evapotranspiration[J]. Water Resources Research, 2004, 40(2): W02502, doi: 10.1029/2003WR002710.
[20]	Potter C S, Randerson J T, Field C B, et al. Terrestrial ecosystem production: A process model based on global satellite and surface data[J]. Globe Biogeochemical Cycles, 1993, 7(4): 811-841.
[21]	Parysow P, Wang G X, Gertner G, et al. Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation[J]. Catena, 2003, 53(1): 65-78.
[22]	Griffin M L, Beasley D B, Fletcher J J, et al. Estimating soil loss on topographically non-uniform field and farm units[J]. Journal of Soil Water Conservation, 1988, 43: 326-331.
[23]	Xu L F, Xu X G, Meng X W. Risk assessment of soil erosion in different rainfall scenarios by RUSLE model coupled with information diffusion model: A case study of Bohai Rim, China[J]. Catena, 2013, 100: 74-82.
[24]	Wang Z Y, Lechner A M, Yang Y J, et al. Mapping the cumulative impacts of long-term mining disturbance and progressive rehabilitation on ecosystem services[J]. Science of the Total Environment, 2020, 717: 137214, doi: 10.1016/j.scitotenv.2020.137214.
[25]	Bennett E M, Peterson G D, Gordon L J. Understanding relationships among multiple[J]. Ecosystem Services, 2009, 12(12): 1394-1404.
[26]	Su C H, Fu B J, He C S, et al. Variation of ecosystem services and human activities: A case study in the Yanhe Watershed of China[J]. Acta Oecologica, 2012, 44: 46-57.
[27]	Fan Y T, Gan L, Hong C Q, et al. Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China[J]. Science of the Total Environment, 2021, 772: 145022, doi: 10.1016/j.scitotenv.2021.145022.
[28]	Bradford J B, D’Amato A W. Recognizing trade-offs in multi-objective land management[J]. Frontiers in Ecology and the Environment, 2012, 10(4): 210-216.
[29]	Lu N, Fu B J, Jin T T, et al. Trade-off analyses of multiple ecosystem services by plantations along a precipitation gradient across Loess Plateau landscapes[J]. Landscape Ecology, 2014, 29(10): 1697-1708.
[30]	Feng Q, Zhao W W, Hu X P, et al. Trading-off ecosystem services for better ecological restoration: A case study in the Loess Plateau of China[J]. Journal of Cleaner Production, 2020, 257: 120469, doi: 10.1016/j.jclepro.2020.120469
[31]	Huang F X, Zuo L Y, Gao J B, et al. Exploring the driving factors of trade-offs and synergies among ecological functional zones based on ecosystem service bundles[J]. Ecological Indicators, 2023, 146: 109827, doi: 10.1016/j.ecolind.2022.109827.
[32]	Wu X T, Wang S, Fu B J, et al. Land use optimization based on ecosystem service assessment: A case study in the Yanhe Watershed[J]. Land Use Policy, 2018, 72: 303-312.
[33]	王劲峰, 徐成东. 地理探测器:原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134. ] doi: 10.11821/dlxb201701010
[34]	兰永真, 孙特生, 李韦韦. 陇东黄土高原农田生态系统服务及其权衡协同关系[J]. 农业工程学报, 2023, 39(12): 236-244.
	[Lan Yongzhen, Sun Tesheng, Li Weiwei. Trade-offs and synergies of farmland ecosystem services in Loess Plateau: A case study of Longdong region, northwest China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2023, 39(12): 236-244. ]
[35]	张鑫, 张丹, 张广森, 等. 关中平原城市群生态系统服务时空特征及生态功能区划分[J]. 干旱区地理, 2024, 47(9): 1587-1595. doi: 10.12118/j.issn.1000-6060.2023.555
	[Zhang Xin, Zhang Dan, Zhang Guangsen, et al. Spatial and temporal characteristics of ecosystem services and ecological function areas in Guanzhong Plain urban agglomeration[J]. Arid Land Geography, 2024, 47(9): 1587-1595. ]
[36]	Zhang J X, Wang Y F, Sun J, et al. Trade-offs and synergies of ecosystem services and their threshold effects in the largest tableland of the Loess Plateau[J]. Global Ecology and Conservation, 2023, 48: e02706, doi: 10.1016/j.gecco.2023.e02706.
[37]	Su C H, Fu B J. Evolution of ecosystem services in the Chinese Loess Plateau under climatic and land use changes[J]. Global and Planetary Change, 2013, 101: 119-128.
[38]	汪仕美, 靳甜甜, 燕玲玲, 等. 子午岭区生态系统服务权衡与协同变化及其影响因素[J]. 应用生态学报, 2022, 33(11): 3087-3096. doi: 10.13287/j.1001-9332.202211.027
	[Wang Shimei, Jin Tiantian, Yan Lingling, et al. Trade-off and synergy among ecosystem services and the influencing factors in the Ziwuling Region, northwest China[J]. Chinese Journal of Applied Ecology, 2022, 33(11): 3087-3096. ] doi: 10.13287/j.1001-9332.202211.027
[39]	陈田田, 黄强, 王强. 基于地理探测器的喀斯特山区生态系统服务关系分异特征及驱动力解析——以贵州省为例[J]. 生态学报, 2022, 42(17): 6959-6972.
	[Chen Tiantian, Huang Qiang, Wang Qiang. Differentiation characteristics and driving factors of ecosystem services relationships in karst mountainous area based on geographic detector modeling: A case study of Guizhou Province[J]. Acta Ecologica Sinica, 2022, 42(17): 6959-6972. ]
[40]	Jiang C, Zhang H Y, Zhang Z D. Spatially explicit assessment of ecosystem services in China’s Loess Plateau: Patterns, interactions, drivers, and implications[J]. Global and Planetary Change, 2018, 161: 41-52.

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变化趋势	检验	分级标准
β>0	Z>1.96	显著增加
β>0	∣Z∣<1.96	不显著增加
β=0	∣Z∣<1.96	基本不变
β<0	∣Z∣<1.96	不显著减少
β<0	Z<1.96	显著减少

生态系统服务	年份	自然因素							人为因素
生态系统服务	年份	DEM	土地利用	NDVI	年降水量	坡度	年均气温	土壤类型	GDP	人口密度
产水量与粮食供给	2001	0.241	0.122	0.312	0.829	0.016	0.212	0.067	0.643	0.534
	2010	0.242	0.128	0.393	0.829	0.016	0.207	0.067	0.533	0.508
	2020	0.241	0.175	0.381	0.819	0.016	0.214	0.067	0.407	0.561
产水量与壤保持	2001	0.207	0.177	0.329	0.815	0.062	0.241	0.098	0.653	0.560
	2010	0.205	0.180	0.304	0.815	0.062	0.236	0.098	0.526	0.560
	2020	0.206	0.217	0.279	0.759	0.063	0.239	0.098	0.415	0.611
产水量与固碳	2001	0.309	0.144	0.177	0.569	0.036	0.420	0.089	0.518	0.495
	2010	0.309	0.139	0.195	0.569	0.036	0.426	0.089	0.432	0.490
	2020	0.309	0.131	0.200	0.549	0.036	0.416	0.089	0.298	0.536
粮食供给与土壤保持	2001	0.121	0.091	0.108	0.156	0.050	0.091	0.018	0.114	0.108
	2010	0.122	0.103	0.169	0.156	0.049	0.089	0.018	0.093	0.102
	2020	0.121	0.109	0.130	0.182	0.050	0.089	0.018	0.087	0.093
粮食供给与固碳	2001	0.101	0.310	0.449	0.423	0.026	0.088	0.088	0.336	0.270
	2010	0.101	0.321	0.481	0.424	0.026	0.092	0.088	0.295	0.241
	2020	0.101	0.357	0.457	0.436	0.026	0.104	0.088	0.245	0.268
土壤保持与固碳	2001	0.060	0.286	0.454	0.462	0.054	0.074	0.096	0.356	0.304
	2010	0.059	0.283	0.352	0.462	0.054	0.077	0.096	0.185	0.300
	2020	0.059	0.324	0.352	0.424	0.054	0.088	0.096	0.273	0.352

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